Merlet Antoine, Presles Benoît, Su Kuan-Hao, Salvadori Julien, Sayah Farzam, Jozi Hanieh, Cochet Alexandre, Vrigneaud Jean-Marc
Imagerie et Vision artificielle, ImViA EA 7535, University of Burgundy, Dijon, France.
Institut de Chimie Moléculaire de l'Université de Bourgogne (ICMUB), UMR CNRS 6302, University of Burgundy, Dijon, France.
EJNMMI Phys. 2024 Jan 31;11(1):13. doi: 10.1186/s40658-024-00616-4.
We propose a comprehensive evaluation of a Discovery MI 4-ring (DMI) model, using a Monte Carlo simulator (GATE) and a clinical reconstruction software package (PET toolbox). The following performance characteristics were compared with actual measurements according to NEMA NU 2-2018 guidelines: system sensitivity, count losses and scatter fraction (SF), coincidence time resolution (CTR), spatial resolution (SR), and image quality (IQ). For SR and IQ tests, reconstruction of time-of-flight (TOF) simulated data was performed using the manufacturer's reconstruction software.
Simulated prompt, random, true, scatter and noise equivalent count rates closely matched the experimental rates with maximum relative differences of 1.6%, 5.3%, 7.8%, 6.6%, and 16.5%, respectively, in a clinical range of less than 10 kBq/mL. A 3.6% maximum relative difference was found between experimental and simulated sensitivities. The simulated spatial resolution was better than the experimental one. Simulated image quality metrics were relatively close to the experimental results.
The current model is able to reproduce the behaviour of the DMI count rates in the clinical range and generate clinical-like images with a reasonable match in terms of contrast and noise.
我们使用蒙特卡罗模拟器(GATE)和临床重建软件包(PET工具箱)对Discovery MI 4环(DMI)模型进行了全面评估。根据NEMA NU 2-2018指南,将以下性能特征与实际测量值进行了比较:系统灵敏度、计数损失和散射分数(SF)、符合时间分辨率(CTR)、空间分辨率(SR)和图像质量(IQ)。对于SR和IQ测试,使用制造商的重建软件对飞行时间(TOF)模拟数据进行重建。
在小于10 kBq/mL的临床范围内,模拟的瞬发、随机、真、散射和噪声等效计数率与实验率紧密匹配,最大相对差异分别为1.6%、5.3%、7.8%、6.6%和16.5%。实验灵敏度与模拟灵敏度之间的最大相对差异为3.6%。模拟的空间分辨率优于实验分辨率。模拟的图像质量指标与实验结果相对接近。
当前模型能够在临床范围内重现DMI计数率的行为,并生成在对比度和噪声方面具有合理匹配度的类似临床图像。